MétaCan
Menu
Back to cohort
Record W3162617404 · doi:10.1107/s0108767320098505

The crystallization transformations sequence as ice is compressed at low temperature: avoidance of amorphization

2020· article· en· W3162617404 on OpenAlexaff
C. A. Tulk, Jamie J. Molaison, A. R. Makhluf, C. E. Manning, D. D. Klug

Bibliographic record

VenueActa Crystallographica Section A Foundations and Advances · 2020
Typearticle
Languageen
FieldEarth and Planetary Sciences
Topicnanoparticles nucleation surface interactions
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsCrystallizationMaterials scienceSequence (biology)CrystallographyChemical engineeringThermodynamicsChemistryPhysicsEngineering

Abstract

fetched live from OpenAlex

The compression of ice I is, as expected, seen to form high density amorphous (HDA) ice when compressed continuously to ~ 1 GPa. However, when ice I is compressed at a slower rate, with breaks between 1 Atm and 1 GPa, the formation of HDA can be avoided. Therefore resulting in the formation of a series of crystalline states. This demonstrates the crystalline-to-crystalline transformation sequence of the lowest energy structures when the amorphization of ice Ih into the HDA form is avoided. An explanation of the structural complexities of the crystalline transformation sequence indicate that high density amorphous ice is a result of an interrupted crystal-tocrystal transition between ice I and ice VIII, and is likely not a 'melting' process to a super-cooled liquid. Additionally, new data confirming the accurate calibration of our temperature measurement is provided, in addition to new thermal pathway analysis of the transformation sequence.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.913
Threshold uncertainty score0.965

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.014
GPT teacher head0.238
Teacher spread0.225 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueActa Crystallographica Section A Foundations and AdvancesSame topicnanoparticles nucleation surface interactionsFrench-language works237,207